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The purpose of this paper is to explore whether and how principles from variation theory can contribute to the planning of teaching and learning beyond learning study.

We study whether and how principles from variation theory contributed to a group of teachers’ planning of teaching and learning about decimal numbers in Grades 4 to 7 working in Subject Didactic Groups – a collaborative arrangement suited to daily teaching. A theoretical thematic analysis approach was used when analyzing eight audio-recorded meetings and written documents.

The study shows that variation theory principles contributed to the teachers’ planning of teaching and learning. Two themes were identified: the theory contributed to the teachers being able to (1) specify what their students needed to learn and (2) design tasks that they anticipated would afford the opportunity to learn what was identified as being necessary to learn.

The paper demonstrates how variation theory can contribute to teachers’ planning of teaching and learning when used in a collaborative arrangement other than learning study. This leads into a discussion about variation theory being used separately from learning study and the benefits and limitations this other collaborative arrangement can have for gaining knowledge of what is to be learned and taught.

Accurate mapping is crucial for the positioning and navigation of mobile robots. Recent advancements in algorithms and the accuracy of LiDAR sensors have led to a gradual improvement in map quality. However, challenges such as lag in closing loops and vignetting at map boundaries persist due to the discrete and sparse nature of raster map data. The purpose of this study is to reduce the error of map construction and improve the timeliness of closed loop.

In this letter, the authors introduce a method for dynamically adjusting point cloud distance constraints to optimize data association (ODA-d), effectively addressing these issues. The authors propose a dynamic threshold optimization method for matching point clouds to submaps during scan matching.

Large deviations in LiDAR sensor point cloud data, when incorporated into the submap, can result in irreparable errors in correlation matching and loop closure optimization. By implementing a data association framework with double constraints and dynamically adjusting the matching threshold, the authors significantly enhance submap quality. In addition, the authors introduce a dynamic fusion method that accounts for both submap size and the distance between submaps during the mapping process. ODA-d reduces errors between submaps and facilitates timely loop closure optimization.

The authors validate the localization accuracy of ODA-d by examining translation and rotation errors across three open data sets. Moreover, the authors compare the quality of map construction in a real-world environment, demonstrating the effectiveness of ODA-d.

The purpose of this study is to investigate the influence of green finance on human well-being in China in the context of urbanization and aging population. It aims to explore the contributions of green finance in such demographic scenarios.

This study innovates and optimizes the calculation of the carbon intensity of human well-being (CIWB) index and strengthens the integrity of the assessment model for green finance development. It uses the serial multiple mediator model and moderation effect analysis to address the impact of green finance on human well-being in China on the provincial level from 2009 to 2020.

Green finance has a significant, positive and direct impact on human well-being. Simultaneously, it influences human well-being indirectly through three transmission channels. Urbanization and an ageing population are significant individual mediators through which green finance contributes to human well-being improvement. Notably, these two mediators also work together to transfer the promotional impact of green finance to human well-being.

The government can perfect the regulations to strengthen the market ecosystem to accelerate the development of green finance. Reforms on the administrative division to expand the size of cities with the implementation of ageing friendly development strategy is also necessary. Attracting incoming foreign direct investment in sustainable projects and adjusting public projects and trade activities to fulfil the sustainable principles are also regarded as essential.

The findings challenge traditional views on the impact of aging populations, highlighting the beneficial role of green finance in improving well-being amidst demographic changes. This offers a new perspective on economic and environmental sustainability in aging societies.

A multi-dimensional well-being indicator, CIWB and the serial multiple mediator model are used and direct and indirect impacts of green finance on human well-being is exhibited. It offers novel insights on the transmission channels behind, identifies the mediating role of urbanization and ageing population and offers empirical evidences with strong academic and policy implications.

This paper aims to systematically review the application of artificial intelligence (AI) in the tourism industry. By integrating human–computer interaction, machine learning, big data and other relevant technologies, the study establishes a comprehensive research framework that explores the systematic connections between AI and various facets of tourism.

This paper conducts a keyword co-occurrence analysis of 4,048 articles related to AI in tourism. The analysis identifies and classifies dominant topics, which are further refined through thematic literature review and manual coding for detailed discussion.

The analysis reveals five main topics: AI’s impact on tourist experience, AI in tourism marketing and prediction, AI in destination management, AI’s role in tourism enterprises and AI integration in strategic and regulatory framework. Each topic is reviewed to construct an integrated discussion that maps the current landscape and suggests directions for future research.

This paper transcends the fragmented discourse commonly found in the literature by establishing a unified framework that not only enhances understanding of the existing methodologies, theories and applications of AI in tourism but also identifies critical areas for breakthroughs, aiming to inspire a more humane and sustainable integration of AI in the tourism industry.

本文旨在系统回顾人工智能（AI）在旅游业中的应用。通过整合人机交互、机器学习、大数据和其他相关技术, 本研究建立了一个全面的研究框架, 探索人工智能与旅游业各方面之间的系统联系。

本文对4048篇与旅游业人工智能相关的文章进行了关键词共现分析。分析确定了主要议题并对其进行了分类, 然后通过主题文献梳理和手动编码对其进行了进一步完善, 以便进行详细讨论。

分析揭示了五个主要主题：人工智能与旅游体验、人工智能与旅游营销和预测、人工智能与目的地管理、人工智能与旅游企业, 以及人工智能在战略和监管框架中的整合。每个主题都进行了回顾, 以构建一个综合讨论, 勾勒出当前的研究格局, 并提出了未来的研究方向。

研究力图突破目前关于旅游与人工智能的碎片化讨论, 建立了一个统一的框架, 旨在加强对旅游业中人工智能现有方法、理论和应用的理解, 还点明了需要突破的关键领域, 以助力旅游业与人工智能共同创造更加人性化和可持续发展的前景。

Este artículo pretende revisar sistemáticamente la aplicación de la inteligencia artificial (IA) en el sector turístico. Mediante la integración de la interacción humano-ordenador, el aprendizaje automático, big data y otras tecnologías relevantes, el estudio establece un marco de investigación exhaustivo que explora las conexiones sistemáticas entre la IA y diversas facetas del turismo.

Este trabajo realiza un análisis de co-ocurrencia de palabras clave de 4.048 artículos relacionados con la IA en el turismo. El análisis identifica y clasifica los temas dominantes, sobre los que se profundiza mediante una revisión temática de la literatura y una codificación manual para su discusión detallada.

El análisis presenta cinco temas principales: El impacto de la IA en la experiencia turística, la IA en el marketing y la predicción turística, la IA en la gestión de destinos, el papel de la IA en las empresas turísticas y la integración de la IA en el marco estratégico y normativo. Cada tema se revisa para construir un debate integrado que trace el panorama actual y sugiera direcciones para futuras investigaciones.

Este artículo expande el análisis fragmentado que suele encontrarse en la bibliografía al establecer un marco unificado que no sólo mejora la comprensión de las metodologías, teorías y aplicaciones existentes de la IA en el turismo, sino que también identifica las áreas críticas para los avances, con el objetivo de inspirar una integración más humana y sostenible de la IA en la industria turística.

This paper aims to present a research framework examining how hotel ratings can be affected by travel purposes (business vs leisure). It explores theoretical foundations, introduces hypotheses and outlines the methodology used in six studies to investigate connections between trip types, work-related factors, hotel ratings and other variables. The goal is to enhance understanding of factors influencing consumer hotel evaluations, with implications for hospitality industry service design and marketing strategies.

The study uses a multi-method approach to investigate the impact of trip type (business vs leisure) on hotel ratings. The theoretical framework is rooted in perceptual frameworks that shape the evaluation of travel experiences. The research proposes and tests several hypotheses through six studies, using diverse data sources and methods for enhanced reliability.

This study shows that business travelers consistently give lower hotel ratings than leisure travelers, with work-related concerns playing a crucial role. Consumers’ perceived lack of hospitality during a business trip diminishes work-related concerns and hotel ratings. Similarly, low empathy from hotel workers leads to reduced work concerns and lower ratings. The research provides actionable insights for hotel management to enhance services for business and leisure travelers, emphasizing the importance of addressing work-related considerations to improve overall satisfaction.

This study uniquely explores the contrasting influences of business and leisure travel on hotel evaluations, focusing on how work-related concerns mediate these relationships. By employing a comprehensive approach that includes secondary data, experiments, and sentiment analysis, it uncovers how business travelers' stressors lead to lower hotel ratings compared to leisure travelers who prioritize relaxation. The research introduces novel insights into how factors like extended stays and staff empathy can mitigate these negative effects, offering actionable recommendations for hotel management. This work enriches the hospitality literature by providing a deeper understanding of how trip types impact guest satisfaction and proposes targeted strategies to enhance service quality for different traveler segments.

本文提出了一个研究框架, 探讨酒店评分如何受旅行目的（商务与休闲）的影响。研究探讨了理论基础, 提出了假设, 并概述了六项研究中使用的方法, 以调查旅行类型、与工作相关的因素、酒店评分及其他变量之间的联系。本研究目标是加深对影响消费者酒店评价因素的理解, 对酒店行业的服务设计和营销策略具有重要意义。

研究采用多方法的路径, 探讨旅行类型（商务与休闲）对酒店评分的影响。理论框架基于感知框架, 以塑造了对旅行体验的评价。研究通过六项研究提出并测试了多个假设, 利用多种数据来源和方法以增强可靠性。

本研究表明, 商务旅客给出的酒店评分一贯低于休闲旅客, 工作相关的忧虑起着关键作用。消费者在商务旅行期间感受到的缺乏热情的款待会加重工作相关的忧虑, 降低酒店评分。同样, 酒店员工的低同理心会加剧工作忧虑, 导致评分降低。研究为酒店管理提供了可操作的见解, 以提升针对商务和休闲旅客的服务, 强调了解决工作相关考虑因素以提高整体满意度的重要性。

研究的优势在于方法多样性和样本量庞大, 增强了研究结果的可靠性和普遍性。多项研究的方法全面探讨了研究问题, 为学术界和酒店行业提供了宝贵的见解。

Objetivo-Este documento presenta un marco de investigación en el que se examina cómo las valoraciones de los hoteles pueden verse afectadas por el tipo de viaje (negocios vs. ocio). Explora los fundamentos teóricos, introduce hipótesis y esboza la metodología utilizada en seis estudios para investigar las conexiones entre los tipos de viaje, los factores relacionados con el trabajo, las valoraciones de los hoteles y otras variables. El objetivo es mejorar la comprensión de los factores que influyen en las evaluaciones hoteleras de los consumidores, con implicaciones para el diseño de servicios y las estrategias de marketing de la hostelería.

El estudio emplea un enfoque multimétodo para investigar el impacto del tipo de viaje (negocios vs. ocio) en las valoraciones de los hoteles. El marco teórico se fundamenta en los marcos de referencia sobre la percepción que conforman la evaluación de las experiencias de viaje. La investigación propone y prueba varias hipótesis a través de seis estudios, utilizando diversas fuentes de datos y métodos para mejorar la fiabilidad.

Este estudio demuestra que los viajeros de negocios dan sistemáticamente valoraciones más bajas a los hoteles que los viajeros de ocio, y que las preocupaciones relacionadas con el trabajo desempeñan un papel crucial. La falta de hospitalidad percibida por los consumidores durante un viaje de negocios disminuye las preocupaciones relacionadas con el trabajo y las valoraciones de los hoteles. Del mismo modo, la escasa empatía de los trabajadores de los hoteles hace que disminuyan las preocupaciones laborales y las valoraciones. La investigación ofrece ideas prácticas para que la dirección de los hoteles mejore los servicios a los viajeros de negocios y de ocio, haciendo hincapié en la importancia de abordar las consideraciones relacionadas con el trabajo para mejorar la satisfacción general.

La importancia de esta investigación reside en la diversidad metodológica y el amplio tamaño de la muestra, que aumentan la fiabilidad y generalizabilidad de los Resultados. El enfoque multiestudio explora de forma exhaustiva las preguntas de la investigación, proporcionando valiosas perspectivas para el mundo académico y la industria de la hostelería.

Equitable risk allocation is important for the effective management of inevitable risks in International Construction Joint Venture (ICJV) projects. Previous studies have documented risks facing ICJV projects. However, there is a dearth of studies on the risk allocation preferences that take into consideration the opinions of both the local and foreign partners. This study aims to fill this gap by ascertaining the risk allocation preferences of the partners of ICJV projects for effective risk management.

Through a survey, data on risk allocation preferences were collected from both local and foreign partners of ICJV projects using a comprehensive register of 74 risks.

Following analysis, six risks were allocated to the local partner, 11 were allocated to the foreign partner, 51 risks were shared, four were allocated to a third party and two were to be negotiated based on the specific circumstances of the project. Practically, the study’s findings will help ICJV partners in drafting their ICJV contracts to adequately allocate risks and reduce contract negotiation time considerably.

The findings from this study will help partners in drafting their joint venture contract agreement and also reduce the period for contract negotiation. Knowledge of the preferred risk allocation is important in allocating risks in the contract agreement to the relevant partner for effective management.

This study, to the best knowledge of the authors, is one of the early studies to ascertain the risk allocation preferences of ICJV project partners in the Ghanaian construction industry – a departure from previous studies which focused on the identification and evaluation of risks. This study is also different from previous studies by considering the allocation preferences of both partners of the ICJV. The collection of data from both partners of the ICJV helped to consider their perceptions on risk allocation and evaluation, essentially leading to cross-cultural and optimal risk allocation preferences.

The role played by corporate governance mechanisms on corporate deleveraging policies has not been clarified. Empirical evidence is confined to developed economies, even with conflicting and inconclusive results. This paper aims to examine the role of corporate governance mechanisms, such as ownership structure, board composition and CEO dominance, in explaining corporate deleveraging policies.

Using a sample of listed Pakistani firms between 2010 and 2022, this study resorts to binary response models to examine the effects of governance mechanisms on firms’ decision to go debt-free.

A greater ownership concentration, institutional ownership and family ownership increase the propensity for zero leverage. Board gender diversity decreases the propensity for deleveraging policies, which seems to indicate that the presence of females reinforces the monitoring function of the board. Finally, lower managerial ownership or CEO dominance decreases the propensity toward zero leverage (interest convergence hypothesis), but higher managerial ownership or CEO dominance increases the propensity toward zero leverage (managerial entrenchment hypothesis).

Risk-averse managers who prefer to control a firm using little or no debt will find it easier to implement these financing policies in firms with greater ownership concentration and where institutional holders have a substantial stake. For shareholders, this study suggests that investing in firms with females on board reduces the risk of corporate deleveraging policies being adopted for entrenched reasons.

The presence of females on board seems to decrease the propensity of managers to adopt opportunistic actions and may also contribute to enhancing human welfare and society in developing countries.

To the best of the authors’ knowledge, this is the first study considering the effect of board diversity on zero leverage. Another singularity is that this study exhibits a nonlinear relationship between managerial ownership and corporate deleveraging policy.

The study explores the impact of food influencers on consumer behaviour in the social media context. It assesses the interplay between the number of followers an influencer has and the type of content this influencer communicates to the audience. Doing so, the research contributes to the strategic refinement of influencer marketing practices, especially in the food industry.

The study employed an experimental between-subject design 2 (influencer type: micro vs macro) x 2 (content type: informational vs entertaining). It recruited 197 Prolific participants (45.7% female, Mage = 45.076), testing their perceptions towards the influencer and the endorsed product in the social media post.

There was a significant interaction between influencer type and content type on consumers’ attitudes towards and their willingness to buy the advertised product. Specifically, the notion that “the more followers, the better” may only be applicable when consumers peruse the content for entertainment purposes, whereas while they read it for information purposes, a micro influencer (with hundreds to thousands of followers) may have as much impact on consumer behaviour as a macro influencer (with hundreds of thousands to a million followers).

Our findings offer a nuanced understanding into the conventional wisdom that people often follow crowd behaviour. Using the Heuristic-Systematic Model (HSM), we explicate when the number of followers matters and when the content type prevails.

In 2021, Dr Shang-Ying Chen, chair of the Department of Theatre Arts at National Sun Yat-sen University, invited me to teach in Taiwan for the 2022 academic year. I taught six 16- to 18-week courses, including creativity, marketing, theater management, and research methods, to 100 undergraduate and graduate college students in English.

As a published sociologist and practitioner of accessibility, diversity, equity, and inclusion (ADEI), I seek to center ADEI in every aspect of my own life, which includes my teaching. My chapter “Teaching ADEI in Taiwan” is an autoethnographic study, utilizing participant observation in documenting the ways in which inclusive pedagogies of ADEI impact teaching and learning in Taiwan. As a Jewish white English-speaking researcher-teacher, I also interrogate my own racial awareness and the impact it has on my efforts to provide my Taiwanese students with an education that is culturally responsive. ¹

The article investigates different types of strategies for managing user-generated content (UGC) and provides some insights into their implications.

A unique sample of Italian hotels with current and prospective customers in the digital environment is investigated. A taxonomy of user-provider interactions mediated by UGC is developed. A mixed approach was designed to meet the study aims. Firstly, an exploratory factor analysis was performed in order to illuminate different strategies of UGC and electronic word-of-mouth (E-WOM) management. Secondly, a cluster analysis was implemented in order to explain hoteliers' behavior toward users' contents.

The study results suggested the existence of three clusters, which reflected three different types of interactions between hotels and customers in the digital domain. Interestingly, most of Italian hotels were found to adopt a reductionist approach to UGC and E-WOM management, turning out to be ineffective to exploit them for the purpose of quality improvement and hospitality service excellence.

Hotels were found to be largely unaware of the importance of UGC and web-based communication with customers to improve their digital business strategy. Tailored management approaches are needed to realize the full potential of hotels' online content responsiveness for the purpose of value co-creation and service co-production.

This is one of the first studies investigating the strategic and management perspectives embraced by hotels to handle their interactions with customers in the digital arena.